Distributed Fuzzy Adaptive Backstepping Optimal Control for Nonlinear Multi-missile Guidance Systems with Input Saturation

Fuzzy Adaptive Backstepping Control of Nonlinear Uncertain Systems With Unmeasured States and Input Saturation

“…To solve the problem of computational expansion, the existing literature proposes the dynamic surface control (DSC), which simplifies the computational complexity by passing the virtual control variable through a first-order filter [11]. With the development of the backstepping method, adaptive fuzzy backstepping theory has also been used in strictly feedback nonlinear systems [12]. This theory has the following advantages in nonlinear control system.…”

Event‐triggered distributed H ∞ control of physically interconnected mobile Euler–Lagrange systems with slipping, skidding and dead zone

“…Unfortunately, external disturbance or input constraint is not included. ADP has also been employed to design optimal control schemes for systems with external disturbances and constrained inputs [17, 18, 22]. In the schemes, there are two policies of two players in a differential game, one for the optimal control law and the other for the worst disturbance law.…”

Event-Driven-Modular Adaptive Backstepping Optimal Control for Strict-Feedback Systems Through Zero-Sum Differential Games

“…An adaptive fuzzy decentralized optimal control is investigated for nonlinear large-scale systems subjected to the unknown nonlinear functions and unmeasured states [20]. For multi-agent systems in strict-feedback form with a fixed directed graph, the command-filtered backstepping and adaptive dynamic programming technique are introduced to investigate the distributed fuzzy optimal tracking control [21]. However, the ADP control schemes [19]- [21] is generated to maximize the performance cost function.…”